Mirror Misery Data from github.com/officeblues/misery-data

README.md

@@ -0,0 +1,72 @@
+---
+license: cc-by-4.0
+language:
+- en
+pretty_name: Office Blues — Misery Data
+tags:
+- labor-statistics
+- wages
+- bls-oews
+- burnout
+- open-data
+- united-states
+size_categories:
+- n<1K
+source_datasets:
+- original
+configs:
+- config_name: occupation_wages
+  data_files: data/occupation_wages.csv
+- config_name: city_burnout_index
+  data_files: data/city_burnout_index.csv
+---
+
+# Office Blues — Misery Data
+
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20534485.svg)](https://doi.org/10.5281/zenodo.20534485) · License: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) · Source repo: [github.com/officeblues/misery-data](https://github.com/officeblues/misery-data) · Site: [officeblues.net](https://officeblues.net)
+
+Open data on the cost of work. Two small, clean datasets derived from public sources, maintained by **[Office Blues](https://officeblues.net)** — a media-and-tools project for the unhappily employed.
+
+> Free to use under **CC BY 4.0**. Quote a figure, build on it, cite us.
+
+## Datasets
+
+### `occupation_wages` — U.S. occupation annual wages (n = 823)
+Annual wage percentiles (25th, median, 75th, 90th) for 823 detailed U.S. occupations.
+
+| field | meaning |
+|---|---|
+| `soc` | Standard Occupational Classification (SOC 2018) code |
+| `title` | Occupation title |
+| `p25_usd` / `median_usd` / `p75_usd` / `p90_usd` | Annual wage percentiles, USD |
+| `source_url` | The Office Blues page for this occupation |
+
+**Source:** U.S. Bureau of Labor Statistics, [Occupational Employment and Wage Statistics (OEWS)](https://www.bls.gov/oes/), May 2025 release. Wages are national.
+
+### `city_burnout_index` — City burnout index (n = 50)
+A composite "burnout" score (0–100, higher = worse) for the 50 largest U.S. metro areas, ranked worst-first.
+
+| field | meaning |
+|---|---|
+| `cbsa_code` | Census CBSA code |
+| `city` / `state` | Metro area / state |
+| `population` | Metro population |
+| `burnout_score` | Composite score, 0–100 |
+| `rank` / `of_cities` | Rank (1 = worst) of 50 |
+| `source_url` | The Office Blues page for this metro |
+
+**Methodology:** the burnout score is a composite of public metro-level indicators; the full method is documented at **[officeblues.net/methodology](https://officeblues.net/methodology)**. Treat it as an editorial index (v1), not an official statistic.
+
+## Files
+Both datasets are provided as CSV (loaded by the HF dataset viewer above) and JSON. A [Frictionless Data](https://frictionlessdata.io/) `datapackage.json` descriptor (schemas + licensing) ships alongside.
+
+## Cite this dataset
+**DOI:** [10.5281/zenodo.20534485](https://doi.org/10.5281/zenodo.20534485) — the concept DOI, always resolving to the latest version (archived on [Zenodo](https://zenodo.org/records/20534486)).
+
+```
+Office Blues, "Misery Data" (occupation wages + city burnout index),
+officeblues.net (2026). CC BY 4.0. https://doi.org/10.5281/zenodo.20534485
+```
+
+## About
+Maintained by Office Blues — **<https://officeblues.net>**. Methodology and the underlying tools live there. Aggregates only; no personal or per-visitor data is included. This is a mirror of the canonical repository at [github.com/officeblues/misery-data](https://github.com/officeblues/misery-data).

data/city_burnout_index.csv

@@ -0,0 +1,51 @@
+cbsa_code,city,state,population,burnout_score,rank,of_cities,source_url
+35380,"New Orleans-Metairie, LA",LA,1269117,46,1,50,https://officeblues.net/burnout-index/new-orleans-la
+29820,"Las Vegas-Henderson-Paradise, NV",NV,2265461,43,2,50,https://officeblues.net/burnout-index/las-vegas-nv
+32820,"Memphis, TN-MS-AR",TN,1337082,43,3,50,https://officeblues.net/burnout-index/memphis-tn
+46060,"Tucson, AZ",AZ,1059473,39,4,50,https://officeblues.net/burnout-index/tucson-az
+35620,"New York-Newark-Jersey City, NY-NJ-PA",NY,19617285,38,5,50,https://officeblues.net/burnout-index/new-york-ny
+17410,"Cleveland-Elyria, OH",OH,2009321,38,6,50,https://officeblues.net/burnout-index/cleveland-oh
+16980,"Chicago-Naperville-Elgin, IL-IN-WI",IL,9509934,36,7,50,https://officeblues.net/burnout-index/chicago-il
+40140,"Riverside-San Bernardino-Ontario, CA",CA,4599839,36,8,50,https://officeblues.net/burnout-index/riverside-ca
+42660,"Seattle-Tacoma-Bellevue, WA",WA,4044837,36,9,50,https://officeblues.net/burnout-index/seattle-wa
+45300,"Tampa-St. Petersburg-Clearwater, FL",FL,3234820,36,10,50,https://officeblues.net/burnout-index/tampa-fl
+40900,"Sacramento-Roseville-Folsom, CA",CA,2399935,36,11,50,https://officeblues.net/burnout-index/sacramento-ca
+33100,"Miami-Fort Lauderdale-Pompano Beach, FL",FL,6183199,35,12,50,https://officeblues.net/burnout-index/miami-fl
+39300,"Providence-Warwick, RI-MA",RI,1677803,35,13,50,https://officeblues.net/burnout-index/providence-ri
+13820,"Birmingham-Hoover, AL",AL,1163959,35,14,50,https://officeblues.net/burnout-index/birmingham-al
+31080,"Los Angeles-Long Beach-Anaheim, CA",CA,13200998,34,15,50,https://officeblues.net/burnout-index/los-angeles-ca
+36740,"Orlando-Kissimmee-Sanford, FL",FL,2763972,34,16,50,https://officeblues.net/burnout-index/orlando-fl
+38300,"Pittsburgh, PA",PA,2422725,34,17,50,https://officeblues.net/burnout-index/pittsburgh-pa
+15380,"Buffalo-Cheektowaga, NY",NY,1218642,34,18,50,https://officeblues.net/burnout-index/buffalo-ny
+26420,"Houston-The Woodlands-Sugar Land, TX",TX,7340872,33,19,50,https://officeblues.net/burnout-index/houston-tx
+47900,"Washington-Arlington-Alexandria, DC-VA-MD-WV",DC,6385162,33,20,50,https://officeblues.net/burnout-index/washington-dc
+37980,"Philadelphia-Camden-Wilmington, PA-NJ-DE-MD",PA,6245051,33,21,50,https://officeblues.net/burnout-index/philadelphia-pa
+14460,"Boston-Cambridge-Newton, MA-NH",MA,4919179,33,22,50,https://officeblues.net/burnout-index/boston-ma
+12580,"Baltimore-Columbia-Towson, MD",MD,2888683,33,23,50,https://officeblues.net/burnout-index/baltimore-md
+36420,"Oklahoma City, OK",OK,1408950,33,24,50,https://officeblues.net/burnout-index/oklahoma-city-ok
+41860,"San Francisco-Oakland-Berkeley, CA",CA,4749008,32,25,50,https://officeblues.net/burnout-index/san-francisco-ca
+47260,"Virginia Beach-Chesapeake-Norfolk, VA-NC",VA,1806306,32,26,50,https://officeblues.net/burnout-index/virginia-beach-va
+41700,"San Antonio-New Braunfels, TX",TX,2601788,31,27,50,https://officeblues.net/burnout-index/san-antonio-tx
+38900,"Portland-Vancouver-Hillsboro, OR-WA",OR,2511612,31,28,50,https://officeblues.net/burnout-index/portland-or
+31140,"Louisville/Jefferson County, KY-IN",KY,1380159,31,29,50,https://officeblues.net/burnout-index/louisville-ky
+25540,"Hartford-East Hartford-Middletown, CT",CT,1211324,31,30,50,https://officeblues.net/burnout-index/hartford-ct
+40380,"Rochester, NY",NY,1133148,31,31,50,https://officeblues.net/burnout-index/rochester-ny
+33460,"Minneapolis-St. Paul-Bloomington, MN-WI",MN,3712020,30,32,50,https://officeblues.net/burnout-index/minneapolis-mn
+41740,"San Diego-Chula Vista-Carlsbad, CA",CA,3298634,30,33,50,https://officeblues.net/burnout-index/san-diego-ca
+19740,"Denver-Aurora-Lakewood, CO",CO,2963821,30,34,50,https://officeblues.net/burnout-index/denver-co
+41180,"St. Louis, MO-IL",MO,2820253,30,35,50,https://officeblues.net/burnout-index/st-louis-mo
+12420,"Austin-Round Rock-Georgetown, TX",TX,2352426,30,36,50,https://officeblues.net/burnout-index/austin-tx
+27260,"Jacksonville, FL",FL,1619730,30,37,50,https://officeblues.net/burnout-index/jacksonville-fl
+40060,"Richmond, VA",VA,1346819,30,38,50,https://officeblues.net/burnout-index/richmond-va
+19100,"Dallas-Fort Worth-Arlington, TX",TX,7759615,29,39,50,https://officeblues.net/burnout-index/dallas-tx
+12060,"Atlanta-Sandy Springs-Alpharetta, GA",GA,6307261,29,40,50,https://officeblues.net/burnout-index/atlanta-ga
+38060,"Phoenix-Mesa-Chandler, AZ",AZ,5070110,29,41,50,https://officeblues.net/burnout-index/phoenix-az
+16740,"Charlotte-Concord-Gastonia, NC-SC",NC,2701518,29,42,50,https://officeblues.net/burnout-index/charlotte-nc
+26900,"Indianapolis-Carmel-Anderson, IN",IN,2111040,29,43,50,https://officeblues.net/burnout-index/indianapolis-in
+39580,"Raleigh-Cary, NC",NC,1431949,29,44,50,https://officeblues.net/burnout-index/raleigh-nc
+17140,"Cincinnati, OH-KY-IN",OH,2274564,28,45,50,https://officeblues.net/burnout-index/cincinnati-oh
+28140,"Kansas City, MO-KS",MO,2226349,27,46,50,https://officeblues.net/burnout-index/kansas-city-mo
+34980,"Nashville-Davidson--Murfreesboro--Franklin, TN",TN,2074993,27,47,50,https://officeblues.net/burnout-index/nashville-tn
+18140,"Columbus, OH",OH,2137512,27,48,50,https://officeblues.net/burnout-index/columbus-oh
+33340,"Milwaukee-Waukesha, WI",WI,1574731,27,49,50,https://officeblues.net/burnout-index/milwaukee-wi
+41620,"Salt Lake City, UT",UT,1257936,25,50,50,https://officeblues.net/burnout-index/salt-lake-city-ut

data/city_burnout_index.json

@@ -0,0 +1,502 @@
+[
+  {
+    "cbsa_code": "35380",
+    "city": "New Orleans-Metairie, LA",
+    "state": "LA",
+    "population": 1269117,
+    "burnout_score": 46,
+    "rank": 1,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/new-orleans-la"
+  },
+  {
+    "cbsa_code": "29820",
+    "city": "Las Vegas-Henderson-Paradise, NV",
+    "state": "NV",
+    "population": 2265461,
+    "burnout_score": 43,
+    "rank": 2,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/las-vegas-nv"
+  },
+  {
+    "cbsa_code": "32820",
+    "city": "Memphis, TN-MS-AR",
+    "state": "TN",
+    "population": 1337082,
+    "burnout_score": 43,
+    "rank": 3,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/memphis-tn"
+  },
+  {
+    "cbsa_code": "46060",
+    "city": "Tucson, AZ",
+    "state": "AZ",
+    "population": 1059473,
+    "burnout_score": 39,
+    "rank": 4,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/tucson-az"
+  },
+  {
+    "cbsa_code": "35620",
+    "city": "New York-Newark-Jersey City, NY-NJ-PA",
+    "state": "NY",
+    "population": 19617285,
+    "burnout_score": 38,
+    "rank": 5,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/new-york-ny"
+  },
+  {
+    "cbsa_code": "17410",
+    "city": "Cleveland-Elyria, OH",
+    "state": "OH",
+    "population": 2009321,
+    "burnout_score": 38,
+    "rank": 6,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/cleveland-oh"
+  },
+  {
+    "cbsa_code": "16980",
+    "city": "Chicago-Naperville-Elgin, IL-IN-WI",
+    "state": "IL",
+    "population": 9509934,
+    "burnout_score": 36,
+    "rank": 7,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/chicago-il"
+  },
+  {
+    "cbsa_code": "40140",
+    "city": "Riverside-San Bernardino-Ontario, CA",
+    "state": "CA",
+    "population": 4599839,
+    "burnout_score": 36,
+    "rank": 8,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/riverside-ca"
+  },
+  {
+    "cbsa_code": "42660",
+    "city": "Seattle-Tacoma-Bellevue, WA",
+    "state": "WA",
+    "population": 4044837,
+    "burnout_score": 36,
+    "rank": 9,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/seattle-wa"
+  },
+  {
+    "cbsa_code": "45300",
+    "city": "Tampa-St. Petersburg-Clearwater, FL",
+    "state": "FL",
+    "population": 3234820,
+    "burnout_score": 36,
+    "rank": 10,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/tampa-fl"
+  },
+  {
+    "cbsa_code": "40900",
+    "city": "Sacramento-Roseville-Folsom, CA",
+    "state": "CA",
+    "population": 2399935,
+    "burnout_score": 36,
+    "rank": 11,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/sacramento-ca"
+  },
+  {
+    "cbsa_code": "33100",
+    "city": "Miami-Fort Lauderdale-Pompano Beach, FL",
+    "state": "FL",
+    "population": 6183199,
+    "burnout_score": 35,
+    "rank": 12,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/miami-fl"
+  },
+  {
+    "cbsa_code": "39300",
+    "city": "Providence-Warwick, RI-MA",
+    "state": "RI",
+    "population": 1677803,
+    "burnout_score": 35,
+    "rank": 13,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/providence-ri"
+  },
+  {
+    "cbsa_code": "13820",
+    "city": "Birmingham-Hoover, AL",
+    "state": "AL",
+    "population": 1163959,
+    "burnout_score": 35,
+    "rank": 14,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/birmingham-al"
+  },
+  {
+    "cbsa_code": "31080",
+    "city": "Los Angeles-Long Beach-Anaheim, CA",
+    "state": "CA",
+    "population": 13200998,
+    "burnout_score": 34,
+    "rank": 15,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/los-angeles-ca"
+  },
+  {
+    "cbsa_code": "36740",
+    "city": "Orlando-Kissimmee-Sanford, FL",
+    "state": "FL",
+    "population": 2763972,
+    "burnout_score": 34,
+    "rank": 16,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/orlando-fl"
+  },
+  {
+    "cbsa_code": "38300",
+    "city": "Pittsburgh, PA",
+    "state": "PA",
+    "population": 2422725,
+    "burnout_score": 34,
+    "rank": 17,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/pittsburgh-pa"
+  },
+  {
+    "cbsa_code": "15380",
+    "city": "Buffalo-Cheektowaga, NY",
+    "state": "NY",
+    "population": 1218642,
+    "burnout_score": 34,
+    "rank": 18,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/buffalo-ny"
+  },
+  {
+    "cbsa_code": "26420",
+    "city": "Houston-The Woodlands-Sugar Land, TX",
+    "state": "TX",
+    "population": 7340872,
+    "burnout_score": 33,
+    "rank": 19,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/houston-tx"
+  },
+  {
+    "cbsa_code": "47900",
+    "city": "Washington-Arlington-Alexandria, DC-VA-MD-WV",
+    "state": "DC",
+    "population": 6385162,
+    "burnout_score": 33,
+    "rank": 20,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/washington-dc"
+  },
+  {
+    "cbsa_code": "37980",
+    "city": "Philadelphia-Camden-Wilmington, PA-NJ-DE-MD",
+    "state": "PA",
+    "population": 6245051,
+    "burnout_score": 33,
+    "rank": 21,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/philadelphia-pa"
+  },
+  {
+    "cbsa_code": "14460",
+    "city": "Boston-Cambridge-Newton, MA-NH",
+    "state": "MA",
+    "population": 4919179,
+    "burnout_score": 33,
+    "rank": 22,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/boston-ma"
+  },
+  {
+    "cbsa_code": "12580",
+    "city": "Baltimore-Columbia-Towson, MD",
+    "state": "MD",
+    "population": 2888683,
+    "burnout_score": 33,
+    "rank": 23,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/baltimore-md"
+  },
+  {
+    "cbsa_code": "36420",
+    "city": "Oklahoma City, OK",
+    "state": "OK",
+    "population": 1408950,
+    "burnout_score": 33,
+    "rank": 24,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/oklahoma-city-ok"
+  },
+  {
+    "cbsa_code": "41860",
+    "city": "San Francisco-Oakland-Berkeley, CA",
+    "state": "CA",
+    "population": 4749008,
+    "burnout_score": 32,
+    "rank": 25,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/san-francisco-ca"
+  },
+  {
+    "cbsa_code": "47260",
+    "city": "Virginia Beach-Chesapeake-Norfolk, VA-NC",
+    "state": "VA",
+    "population": 1806306,
+    "burnout_score": 32,
+    "rank": 26,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/virginia-beach-va"
+  },
+  {
+    "cbsa_code": "41700",
+    "city": "San Antonio-New Braunfels, TX",
+    "state": "TX",
+    "population": 2601788,
+    "burnout_score": 31,
+    "rank": 27,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/san-antonio-tx"
+  },
+  {
+    "cbsa_code": "38900",
+    "city": "Portland-Vancouver-Hillsboro, OR-WA",
+    "state": "OR",
+    "population": 2511612,
+    "burnout_score": 31,
+    "rank": 28,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/portland-or"
+  },
+  {
+    "cbsa_code": "31140",
+    "city": "Louisville/Jefferson County, KY-IN",
+    "state": "KY",
+    "population": 1380159,
+    "burnout_score": 31,
+    "rank": 29,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/louisville-ky"
+  },
+  {
+    "cbsa_code": "25540",
+    "city": "Hartford-East Hartford-Middletown, CT",
+    "state": "CT",
+    "population": 1211324,
+    "burnout_score": 31,
+    "rank": 30,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/hartford-ct"
+  },
+  {
+    "cbsa_code": "40380",
+    "city": "Rochester, NY",
+    "state": "NY",
+    "population": 1133148,
+    "burnout_score": 31,
+    "rank": 31,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/rochester-ny"
+  },
+  {
+    "cbsa_code": "33460",
+    "city": "Minneapolis-St. Paul-Bloomington, MN-WI",
+    "state": "MN",
+    "population": 3712020,
+    "burnout_score": 30,
+    "rank": 32,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/minneapolis-mn"
+  },
+  {
+    "cbsa_code": "41740",
+    "city": "San Diego-Chula Vista-Carlsbad, CA",
+    "state": "CA",
+    "population": 3298634,
+    "burnout_score": 30,
+    "rank": 33,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/san-diego-ca"
+  },
+  {
+    "cbsa_code": "19740",
+    "city": "Denver-Aurora-Lakewood, CO",
+    "state": "CO",
+    "population": 2963821,
+    "burnout_score": 30,
+    "rank": 34,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/denver-co"
+  },
+  {
+    "cbsa_code": "41180",
+    "city": "St. Louis, MO-IL",
+    "state": "MO",
+    "population": 2820253,
+    "burnout_score": 30,
+    "rank": 35,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/st-louis-mo"
+  },
+  {
+    "cbsa_code": "12420",
+    "city": "Austin-Round Rock-Georgetown, TX",
+    "state": "TX",
+    "population": 2352426,
+    "burnout_score": 30,
+    "rank": 36,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/austin-tx"
+  },
+  {
+    "cbsa_code": "27260",
+    "city": "Jacksonville, FL",
+    "state": "FL",
+    "population": 1619730,
+    "burnout_score": 30,
+    "rank": 37,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/jacksonville-fl"
+  },
+  {
+    "cbsa_code": "40060",
+    "city": "Richmond, VA",
+    "state": "VA",
+    "population": 1346819,
+    "burnout_score": 30,
+    "rank": 38,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/richmond-va"
+  },
+  {
+    "cbsa_code": "19100",
+    "city": "Dallas-Fort Worth-Arlington, TX",
+    "state": "TX",
+    "population": 7759615,
+    "burnout_score": 29,
+    "rank": 39,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/dallas-tx"
+  },
+  {
+    "cbsa_code": "12060",
+    "city": "Atlanta-Sandy Springs-Alpharetta, GA",
+    "state": "GA",
+    "population": 6307261,
+    "burnout_score": 29,
+    "rank": 40,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/atlanta-ga"
+  },
+  {
+    "cbsa_code": "38060",
+    "city": "Phoenix-Mesa-Chandler, AZ",
+    "state": "AZ",
+    "population": 5070110,
+    "burnout_score": 29,
+    "rank": 41,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/phoenix-az"
+  },
+  {
+    "cbsa_code": "16740",
+    "city": "Charlotte-Concord-Gastonia, NC-SC",
+    "state": "NC",
+    "population": 2701518,
+    "burnout_score": 29,
+    "rank": 42,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/charlotte-nc"
+  },
+  {
+    "cbsa_code": "26900",
+    "city": "Indianapolis-Carmel-Anderson, IN",
+    "state": "IN",
+    "population": 2111040,
+    "burnout_score": 29,
+    "rank": 43,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/indianapolis-in"
+  },
+  {
+    "cbsa_code": "39580",
+    "city": "Raleigh-Cary, NC",
+    "state": "NC",
+    "population": 1431949,
+    "burnout_score": 29,
+    "rank": 44,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/raleigh-nc"
+  },
+  {
+    "cbsa_code": "17140",
+    "city": "Cincinnati, OH-KY-IN",
+    "state": "OH",
+    "population": 2274564,
+    "burnout_score": 28,
+    "rank": 45,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/cincinnati-oh"
+  },
+  {
+    "cbsa_code": "28140",
+    "city": "Kansas City, MO-KS",
+    "state": "MO",
+    "population": 2226349,
+    "burnout_score": 27,
+    "rank": 46,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/kansas-city-mo"
+  },
+  {
+    "cbsa_code": "34980",
+    "city": "Nashville-Davidson--Murfreesboro--Franklin, TN",
+    "state": "TN",
+    "population": 2074993,
+    "burnout_score": 27,
+    "rank": 47,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/nashville-tn"
+  },
+  {
+    "cbsa_code": "18140",
+    "city": "Columbus, OH",
+    "state": "OH",
+    "population": 2137512,
+    "burnout_score": 27,
+    "rank": 48,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/columbus-oh"
+  },
+  {
+    "cbsa_code": "33340",
+    "city": "Milwaukee-Waukesha, WI",
+    "state": "WI",
+    "population": 1574731,
+    "burnout_score": 27,
+    "rank": 49,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/milwaukee-wi"
+  },
+  {
+    "cbsa_code": "41620",
+    "city": "Salt Lake City, UT",
+    "state": "UT",
+    "population": 1257936,
+    "burnout_score": 25,
+    "rank": 50,
+    "of_cities": 50,
+    "source_url": "https://officeblues.net/burnout-index/salt-lake-city-ut"
+  }
+]

datapackage.json

@@ -0,0 +1,112 @@
+{
+  "name": "office-blues-misery-data",
+  "title": "Office Blues — Misery Data",
+  "description": "Open data on the cost of work: U.S. occupation wages (BLS OEWS) and a city burnout index. Maintained by Office Blues (officeblues.net).",
+  "homepage": "https://officeblues.net",
+  "licenses": [
+    {
+      "name": "CC-BY-4.0",
+      "title": "Creative Commons Attribution 4.0",
+      "path": "https://creativecommons.org/licenses/by/4.0/"
+    }
+  ],
+  "resources": [
+    {
+      "name": "occupation_wages",
+      "path": "data/occupation_wages.csv",
+      "format": "csv",
+      "mediatype": "text/csv",
+      "title": "U.S. occupation annual wages (n=823)",
+      "schema": {
+        "fields": [
+          {
+            "name": "soc",
+            "type": "string",
+            "title": "SOC 2018 code"
+          },
+          {
+            "name": "title",
+            "type": "string",
+            "title": "Occupation title"
+          },
+          {
+            "name": "p25_usd",
+            "type": "integer",
+            "title": "25th-percentile annual wage (USD)"
+          },
+          {
+            "name": "median_usd",
+            "type": "integer",
+            "title": "Median annual wage (USD)"
+          },
+          {
+            "name": "p75_usd",
+            "type": "integer",
+            "title": "75th-percentile annual wage (USD)"
+          },
+          {
+            "name": "p90_usd",
+            "type": "integer",
+            "title": "90th-percentile annual wage (USD)"
+          },
+          {
+            "name": "source_url",
+            "type": "string",
+            "title": "Office Blues page URL"
+          }
+        ]
+      }
+    },
+    {
+      "name": "city_burnout_index",
+      "path": "data/city_burnout_index.csv",
+      "format": "csv",
+      "mediatype": "text/csv",
+      "title": "City burnout index (n=50)",
+      "schema": {
+        "fields": [
+          {
+            "name": "cbsa_code",
+            "type": "string",
+            "title": "Census CBSA code"
+          },
+          {
+            "name": "city",
+            "type": "string",
+            "title": "Metro area"
+          },
+          {
+            "name": "state",
+            "type": "string",
+            "title": "State"
+          },
+          {
+            "name": "population",
+            "type": "integer",
+            "title": "Metro population"
+          },
+          {
+            "name": "burnout_score",
+            "type": "integer",
+            "title": "Burnout score (0–100, higher = worse)"
+          },
+          {
+            "name": "rank",
+            "type": "integer",
+            "title": "Rank (1 = worst)"
+          },
+          {
+            "name": "of_cities",
+            "type": "integer",
+            "title": "Total cities ranked"
+          },
+          {
+            "name": "source_url",
+            "type": "string",
+            "title": "Office Blues page URL"
+          }
+        ]
+      }
+    }
+  ]
+}